Effortless Dashboard Creation with ThoughtSpot's NLP Magic
What do you like best about the product?
I like the ease of use and the Spotter feature in ThoughtSpot. Spotter helps me use NLP to get an answer to my questions, which is really helpful. The ease of use also comes from how easy it is to configure new graphs. Additionally, the initial setup of ThoughtSpot was quite easy, thanks to the help from Amit and Philipp.
What do you dislike about the product?
drilling down on a time frame level without doing many clicks
What problems is the product solving and how is that benefiting you?
I use ThoughtSpot for creating business dashboards, monitoring patterns, getting quick views, and drilling into errors. The ease of use and NLP-based spotter feature make it intuitive to configure graphs and find answers to my questions.
Spotter and Spotter IQ Deliver Powerful AI Insights
What do you like best about the product?
AI / Intelligence with Spotter and Spotter IQ
What do you dislike about the product?
Liveboards/Answers aren’t as customizable as other BI tools. I’d really like to see more flexibility in creating visualizations in the future, especially when it comes to tailoring them to specific needs.
What problems is the product solving and how is that benefiting you?
The biggest problem Thoughtspot is solving for us is enabling self-service analytics through its Spotter capability. It helps our users run their own ad hoc analyses and ask questions on their own, which is especially valuable for people who aren’t very technically savvy.
Intuitive Natural Language Analytics That Speeds Insights and Integrates Smoothly with Snowflake
What do you like best about the product?
What I like best about ThoughtSpot is how intuitive it makes data exploration. The natural language search allows both technical and non-technical users to quickly get insights without needing to write complex queries. It really shortens the time from question to answer, which is valuable in fast-paced environments. This is especially important to my organization, as we need quick, on the spot insights to help us drive strategy. Overall, the integration with Snowflake was straightforward and allowed us to streamline our backend data. Additionally, the continuous improvement efforts of ThoughtSpot to evolve the platform are top of the line - they have an extensive runway of enhancements to better shape the product and respond to customer needs.
What do you dislike about the product?
One area for improvement in ThoughtSpot is its formatting and reporting flexibility. While the platform is very strong for ad hoc analysis and search-driven insights, it can feel somewhat limited when trying to create highly customized, presentation-ready reports compared to more traditional BI tools. Additionally, in being cloud based, it can be challenging to bring in data (e.g., text files, etc.) outside of cloud based tools. In our organization, we often receive data from vendors that are flat files and having the abiliyt to easily bring those in would be an added benefit.
What problems is the product solving and how is that benefiting you?
ThoughtSpot helps solve the challenge of quickly accessing and analyzing HEDIS performance data. It allows us to dig deeper into the data and uncover insights in a much faster, more seamless way. It also provides a self-service capability for end users, which reduces ad hoc requests and frees up analysts’ time. Without it, analysts would spend hours manually querying and analyzing datasets, slowing down decision-making. With ThoughtSpot, we’re able to get to actionable insights much more efficiently.
Thoughtspot’s AI-Powered Analytics and Spotter Shine
What do you like best about the product?
AI enabled Analytics is the best part of Thoughtspot. Spotter has been the best feature within the tool
What do you dislike about the product?
i believe costly BI tool compared to other BI tools
What problems is the product solving and how is that benefiting you?
Currently, it's helping me analyze the spootter credits utilization
Self-service analytics has empowered teams and now drives faster data-driven decisions
What is our primary use case?
My name is Peter Chemo, a Financial Analyst at Nesto.
One of the major challenges that ThoughtSpot solves is reducing the dependency on data teams for reports and insights. ThoughtSpot also integrates well with modern data cloud platforms like Snowflake. This platform enables the creation of dynamic, interactive dashboards and visualization which helps track KPIs and provide insights into business performance. We are able to make data-driven decisions, know how our business is doing, and understand where to put more effort and where our clients are very happy about our business. ThoughtSpot empowers non-technical users to perform ad hoc data analysis. Users can use a Google-like search interface to query data and generate insights in real-time without relying on the data team.
We are able to gather data insights from different data sources and make our own data-driven decisions easily without even involving the data team. ThoughtSpot delivers performance at scale, ensuring that even the largest organization can quickly analyze and visualize data without needing a data team. I love the ability to seamlessly share live dashboards, foster collaboration, and ensure everyone in the organization is working from the same data source and aligned in decision-making.
ThoughtSpot allows us to create live boards that process quickly when it comes to large datasets. We are able to do a live data connection that gives us scalability to find insights that ultimately guide us in the strategic management of our data, whether it is engineering, marketing, product, or any department. Our teams are able to make their own data-driven decisions easily. This serves a wide array of use cases when the strategy is focused on product.
We gather data from different departments through ThoughtSpot, which enables us to collaborate and make data-driven decisions together.
What is most valuable?
I have an experience of four years using ThoughtSpot.
ThoughtSpot is very easy to use. Even non-technical users find it very easy to use and user-friendly.
Some of the best features ThoughtSpot offers are innovation, ease of use, and data analytics. Reporting development is also pretty easy, making complex formulas slightly easier. Additionally, dashboarding for non-technical people, easy search of data, ease of getting insights, AI-driven analytics, and the ability to easily build charts are highlights. ThoughtSpot also offers data connection with live data sources.
ThoughtSpot's scalability is impressive; it can handle large data easily, and performance has been powerful and reliable. The AI-driven analytics capabilities in ThoughtSpot help to predict future outcomes and are very helpful in tracking data, and performance is great.
What needs improvement?
The customizability of the visualization live boards should be improved. Additional support for more data warehouse systems is needed, as data does not always match sometimes. Sophisticated data modeling features like AFC should be included.
For how long have I used the solution?
I have been working in my current field for five years.
What do I think about the stability of the solution?
ThoughtSpot is very stable.
What do I think about the scalability of the solution?
ThoughtSpot's scalability is impressive; it can handle large data easily, and performance has been powerful and reliable.
How are customer service and support?
The customer support for ThoughtSpot is very proactive and supportive, available 24/7.
It was very easy for my team to learn and adopt ThoughtSpot since it has a very user-friendly interface. The customer support is proactive 24/7, so they are able to support both technical and non-technical users.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
We switched from Looker and Sisense before using ThoughtSpot.
I did not previously use a different solution before ThoughtSpot.
How was the initial setup?
The integration process with our existing data sources and tools is very seamless.
The performance of ThoughtSpot has been very fast, reliable, and consistent, even when handling huge amounts of data. I have not seen any crashes.
What was our ROI?
This tool has really improved our decision-making by 70 to 80% because we are able to rely on insights from different data sources from different departments. We can make data-driven decisions easily. ThoughtSpot is a very good tool because it does not usually take much time from the data team. We make our own decisions without even involving the data team, allowing them to save time and focus on more strategic projects.
What's my experience with pricing, setup cost, and licensing?
The pricing, setup cost, and licensing for ThoughtSpot are competitive, and it is a very user-friendly tool compared to its competitors. Setting it up was easy and straightforward.
Which other solutions did I evaluate?
Before choosing ThoughtSpot, I evaluated the Microsoft BI tool.
What other advice do I have?
If others want to be reliant on themselves and not on the data team, they should consider using ThoughtSpot. ThoughtSpot gathers insights from different data sources and allows for making their own data-driven decisions.
It is easy to make data-driven decisions with ThoughtSpot. Consequently, we are able to gather insights from different data sources, improving data security. Tracking and progress reports are simple to generate, and the speed of execution is commendable.
ThoughtSpot is very easy to use, cost-effective, and a very secure tool. I would rate this product an 8 out of 10.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Steep Learning Curve, But Powerful
What do you like best about the product?
I find ThoughtSpot to be a great tool once you get used to using it. It helps me put data together in ways that make it easy for me to tell a story. I use it to gather and compare performance data.
What do you dislike about the product?
I think it's very difficult to learn how to use ThoughtSpot. It takes a long time to really learn it, and I'm still not even close to where I want to be proficiency-wise. The initial setup was confusing, though manageable.
What problems is the product solving and how is that benefiting you?
I use ThoughtSpot to gather and compare performance data, which allows me to easily put data together to tell a story.
Great for Search-Driven Analysts with Interactive Dashboards
What do you like best about the product?
It is good for search driven analysts,interactive dashboard,
What do you dislike about the product?
Expensive,limited customisation less control over visual design
What problems is the product solving and how is that benefiting you?
More people can find insight without deep technical skills
ThoughtSpot: Easy to Use, Clear Documentation, and Seamless AI Integration
What do you like best about the product?
What I like most about ThoughtSpot is its ease of use, the ability to build relationships within the data model, and its very clear documentation. It also offers a seamless integration of AI capabilities and a well-designed user interface that aligns closely with market needs.
What do you dislike about the product?
“ThoughtSpot is highly accessible to end users, so once the models are built correctly within the platform, the responsibility for operating reports and visualizations lies with the end users. You don’t need to be a BI developer to manage the system. This has saved the data and engineering teams significant time, allowing them to focus on deeper business analysis rather than report maintenance.”What I like less at the moment is that while the platform is very AI-focused, their agent isn’t as powerful as I would expect. It doesn’t fully learn user behavior as anticipated, even though it leverages the OpenAI engine.
What problems is the product solving and how is that benefiting you?
ThoughtSpot is highly accessible to end users, so once the models are built correctly within the platform, the responsibility for operating reports and visualizations lies with the end users. You don’t need to be a BI developer to manage the system. This has saved the data and engineering teams significant time, allowing them to focus on deeper business analysis rather than report maintenance.
ThoughtSpot Redefines Self-Service BI at Enterprise Scale
What do you like best about the product?
Natural Language Search allows users to query data using plain English, significantly reducing analysis times from hours to minutes. This makes self-service analytics accessible to non-technical stakeholders.
Real-Time Queries are possible through a live connection to the Redshift warehouse on AWS, providing almost instant results even when working with hundreds of billions of rows.
Security and Governance are enhanced with Role-Based Access (RBA) and Row-Level Security (RLS), giving Thoughtspot a compliance advantage and reducing the complexity often found in other BI solutions.
Scalability for Enterprise Loads is another strength, as the system is designed to manage massive and complex datasets from numerous data sources. Its cloud-native architecture helps avoid the performance issues that can occur with legacy BI tools.
The Unified Workflow Ecosystem is also notable. Analyst Studio brings together SQL, Python, R, and visualizations in a single environment, which greatly boosts productivity and supports end-to-end analysis without losing context.
What do you dislike about the product?
High and Opaque Pricing Policy: ThoughtSpot’s custom-quoted pricing model can be a shock to BI budgets, particularly for those looking to embed or scale the platform, with costs exceeding $500K annually for large-scale deployments. In contrast to Power BI’s affordable per-user tiers or Tableau’s transparent licensing, ThoughtSpot’s pricing can feel unpredictable and may pose a significant barrier for smaller startups and SMBs.
Limited Visualization and Customization Options: The dashboards lack the refinement and variety found in Tableau’s or Power BI’s advanced charting capabilities. ThoughtSpot’s auto-generated visuals often appear basic and can feel sluggish during in-depth analysis. The user interface can be tedious, making it less suitable for presentation-ready reports when compared to the pixel-perfect designs offered by competitors.
AI and NLP Limitations in Real-World Scenarios: The natural language search feature may struggle with complex or nuanced queries unless there is substantial upfront modeling. It lags behind tools like Sigma, which offer spreadsheet-like intuitiveness, or newer options like Zenlytic for genuine ad-hoc exploration. Achieving true self-service still requires a dedicated data professional team to ensure complete output accuracy, unlike Power BI Copilot’s broader capabilities.
Performance Glitches and Stability Issues: While ThoughtSpot is fast for live queries and individual answers, liveboards (dashboards) can become laggy or unresponsive when handling massive datasets and numerous visualizations during exploratory work. This stands in contrast to Tableau’s reliable rendering or Looker’s efficient query handling.
There are also several feature gaps and occasional bugs, which can make ThoughtSpot less dependable for high-stakes, real-time enterprise use compared to other well-established alternatives.
What problems is the product solving and how is that benefiting you?
ThoughtSpot is addressing the 'last-mile' challenge in business intelligence. Previously, our business users often had to wait days or even weeks to get the answers they needed. With the introduction of natural language search, they can now simply ask questions in plain English or use a point-and-click interface to receive answers within seconds, even when working with hundreds of billions of rows. Since deploying ThoughtSpot, the number of analysis requests has dropped by 800%, now averaging just 10 to 15 requests per month. This shift has enabled us to reclaim 70-75% of our business intelligence engineering team's time for more valuable work.
Has supported seamless dashboard collaboration and large data handling while offering room to lower certification costs
What is our primary use case?
I had some experience with ThoughtSpot. It was a very limited use case, as I was just a part of a POC, so I cannot really comment.
What is most valuable?
Different BI tools have their strengths and weaknesses. If you take Tableau, it has very adjustability. You can make any kinds of dashboards in Tableau, and you can do many things. If you take Power BI, it has a good background of Microsoft helping it with its Microsoft services. So, different tools have different plus points. The point which I found to be a strength point for Domo was collaboration while building dashboards and pipelines, and the volume of data it used to handle. Domo has its own place in the market, but I would suggest the certification costs and the pricing for clients needs to be reduced a little. Otherwise, it's a good tool.
It's very consumer-friendly, and it adopted the GenAI features very quickly. I would measure Domo and ThoughtSpot on a similar scale, so there's a limited difference.
When researching new data, you need some machine which helps us scout through the entire data and give us basic insights. It takes very little time for us to gauge the kind of data it is, its nature, quality, and makes quality check and governance easy. Testing becomes easy, and if I have some questions for ad-hoc analysis, that becomes easy on ThoughtSpot, so that is very handy in those areas. It's not actually developed for developers; it is developed more for a middle to senior level, considering the conversational AI features.
I have used that feature, and that was very handy, but in an actual case scenario, you would not use that too much because you don't know the kind of formulas which have been used in the background. There are chances that it might hallucinate or build some different formulas than what you are expecting as a developer. Although it's a very nice feature to have, I don't think that is something which can survive alone.
What needs improvement?
There should be a free version of it for people to learn easily so that they get adapted easily and get used to supporting the Domo community, which is something very important.
The certification costs and the pricing for clients needs to be reduced a little.
You need to have someone working on the back end.
For how long have I used the solution?
I have been working in this field for close to four and a half years.
What do I think about the stability of the solution?
What do I think about the scalability of the solution?
I'm not sure about its scalability; I have no real-time experience on that.
How are customer service and support?
I did not actually reach out much to the Domo support, but a few seniors of mine who reached out found it satisfactory.
They had a good experience with Domo.
We can rate them 9 or 10 for their support, and we never had any complaints.
ThoughtSpot customer service is slightly slower than what I expected. I had reached out to them for some reason, and there was a slight delay. I got a response from them maybe two weeks later, but they resolved my issue the moment they got back to it.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
This was just a POC, and I never sold or tried selling ThoughtSpot to anyone, although I tried selling Domo.
How was the initial setup?
It's straightforward. I did my architect certification in ThoughtSpot, and it's straightforward to set up and work on it.
I have done my certification, so I know that there is an on-prem version of it. I did the cloud one, the cloud architect one, so it is pretty straightforward, and it's basically plug-and-play.
Which other solutions did I evaluate?
Different BI tools have their strengths and weaknesses. If you take Tableau, it has very adjustability. You can make any kinds of dashboards in Tableau, and you can do many things. If you take Power BI, it has a good background of Microsoft helping it with its Microsoft services. So, different tools have different plus points.
What other advice do I have?
It's okay to use the company name GoodRx.
I recently moved into data engineering, but prior to this, I was a senior analyst at blend360.com.
I did not do a real-time case on predictive analysis on ThoughtSpot, so I cannot give you a right answer.
Domo features I have not really been exposed to, so I cannot comment on Domo. ThoughtSpot is good for scouting and learning, but that cannot be used as a base for production items. So, I cannot really compare on that scale.
It's not the best for ThoughtSpot.
I rate ThoughtSpot a six out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
